DROP VIEW
Applies to: 
Databricks SQL Databricks Runtime
Removes the metadata associated with a specified view from the catalog.
To drop a view you must have the MANAGE privilege on the view, be its owner, or the owner of the schema, catalog, or metastore the view resides in.
Syntax
DROP [ MATERIALIZED ] VIEW [ IF EXISTS ] view_name
Parameter
IF EXISTS
If specified, no TABLE_OR_VIEW_NOT_FOUND error is thrown when the view does not exist.
-
The name of the view to be dropped. If the view cannot be found Azure Databricks raises a TABLE_OR_VIEW_NOT_FOUND error.
Examples
-- Assumes a view named `employeeView` exists.
> DROP VIEW employeeView;
-- Assumes a view named `employeeView` exists in the `usersc` schema
> DROP VIEW usersc.employeeView;
-- Assumes a view named `employeeView` does not exist.
-- Throws TABLE_OR_VIEW_NOT_FOUND
> DROP VIEW employeeView;
[TABLE_OR_VIEW_NOT_FOUND]
-- Assumes a materialized view named `employeeView` exists.
> DROP MATERIALIZED VIEW employeeView
-- Assumes a view named `employeeView` does not exist. Try with IF EXISTS
-- this time it will not throw exception
> DROP VIEW IF EXISTS employeeView;